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Volumn 45, Issue 2, 2002, Pages 369-377

Kernel handling performance of an automatic grain quality inspection system

Author keywords

Automatic machine; Grain quality; Image processing; Machine vision

Indexed keywords

BELT CONVEYORS; CAMERAS; CHARGE COUPLED DEVICES; COMPUTER VISION; HIGH SPEED PHOTOGRAPHY; IMAGE ANALYSIS;

EID: 0036524158     PISSN: 00012351     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (33)

References (16)
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  • 2
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    • Evaluating quality factors of corn and soybean using a computer vision system
    • Gunasekaran, S., T. M. Cooper, and A. G. Berlage. 1988. Evaluating quality factors of corn and soybean using a computer vision system. Trans. ASAE 31(4): 1264-1271.
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    • Gunasekaran, S.1    Cooper, T.M.2    Berlage, A.G.3
  • 6
    • 33751022942 scopus 로고
    • Real-time detection of color and surface defects of maize kernels using machine vision
    • Liao, K., M. R. Paulsen, and J. F. Reid. 1994. Real-time detection of color and surface defects of maize kernels using machine vision. J. Agric. Eng. Res. 59:263-271.
    • (1994) J. Agric. Eng. Res. , vol.59 , pp. 263-271
    • Liao, K.1    Paulsen, M.R.2    Reid, J.F.3
  • 7
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    • Machine vision color calibration in assessing corn kernel damage
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    • (1998) Trans. ASAE , vol.41 , Issue.3 , pp. 727-732
    • Ng, H.F.1    Wilcke, W.F.2    Morey, R.V.3    Lang, J.P.4
  • 9
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    • An instrumental system for cereal grain classification using digital image analysis
    • Sapirstein, H. D., M. Neuman, E. H. Wright, and E. Shwedyk, and W. Bushuk. 1987. An instrumental system for cereal grain classification using digital image analysis. J. Cereal Sci. 6(1): 3-14.
    • (1987) J. Cereal Sci. , vol.6 , Issue.1 , pp. 3-14
    • Sapirstein, H.D.1    Neuman, M.2    Wright, E.H.3    Shwedyk, E.4    Bushuk, W.5
  • 10
    • 0031119707 scopus 로고    scopus 로고
    • Processing of digital images of touching kernels by ellipse fitting
    • Shashidhar, N. S., D. S. Jayas, T. G. Crown, and N. R. Bulley. 1997. Processing of digital images of touching kernels by ellipse fitting. Canadian Agric. Eng. 39(2): 139-142.
    • (1997) Canadian Agric. Eng. , vol.39 , Issue.2 , pp. 139-142
    • Shashidhar, N.S.1    Jayas, D.S.2    Crown, T.G.3    Bulley, N.R.4
  • 11
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    • Digital image analysis for software separation and classification of touching grains: I. Disconnect algorithm
    • Shatadal, P., D. S. Jayas, and N. R. Bulley. 1995a. Digital image analysis for software separation and classification of touching grains: I. Disconnect algorithm. Trans. ASAE 38(2): 635-643.
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    • Shatadal, P.1    Jayas, D.S.2    Bulley, N.R.3
  • 12
    • 0029134405 scopus 로고
    • Digital image analysis for software separation and classification of touching grains: II. Classification
    • _. 1995b. Digital image analysis for software separation and classification of touching grains: II. Classification. Trans. ASAE 38(2): 645-649.
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  • 13
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    • Rice quality classification using an automatic grain quality inspection system
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  • 14
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    • Zayas, I.Y.1    Steele, J.L.2    Converse, H.3
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    • Wheat classification using image analysis and crush-force parameters
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.